Design and Application of Risk Adjusted Cumulative Sum (RACUSUM) for Online Strength Monitoring of Ready Mixed Concrete

The Cumulative Sum (CUSUM) procedure is an effective statistical process control tool that can be used to monitor quality of ready mixed concrete (RMC) during its production process. Online quality monitoring refers to monitoring of the concrete quality at the RMC plant during its production process. In this paper, we attempt to design and apply a new CUSUM procedure for RMC industry which takes care of the risks involved and associated with the production of RMC. This new procedure can be termed as Risk Adjusted CUSUM (RACUSUM). The 28 days characteristic cube compressive strengths of the various grades of concrete and detailed information regarding the production process and the risks associated with the production of RMC were collected from the operational RMC plants in and around Ahmedabad and Delhi (India). The risks are quantified using a likelihood based scoring method. Finally a Risk Adjusted CUSUM model is developed by imposing the weighted score of the estimated risks on the conventional CUSUM plot. This model is a more effective and realistic tool for monitoring the strength of RMC.

Minimum Cost Arborescences

In this paper, we analyze the cost allocation problem when a group of agents or nodes have to be connected to a source, and where the cost matrix describing the cost of connecting each pair of agents is not necessarily symmetric, thus extending the well-studied problem of minimum cost spanning tree games, where the costs are assumed to be symmetric. The focus is on rules which satisfy axioms representing incentive and fairness properties. We show that while some results are similar, there are also signifcant differences between the frameworks corresponding to symmetric and asymmetric cost matrices.directed networks ; cost allocation ; core stability ; continuity ; cost monotonicity

Minimum cost arborescences

In this paper, we analyze the cost allocation problem when a group of agents or nodes have to be connected to a source, and where the cost matrix describing the cost of connecting each pair of agents is not necessarily symmetric, thus extending the well-studied problem of minimum cost spanning tree games, where the costs are assumed to be symmetric. The focus is on rules which satisfy axioms representing incentive and fairness properties. We show that while some results are similar, there are also signilcant dikerences between the frameworks corresponding to symmetric and asymmetric cost matrices.directed networks, cost allocation, core stability, continuity, cost monotonicity

Simulation in Military Training: Recent Developments

Training is considered to be one of the key factors in achieving military goal. Growing concernover the increasing training costs, time, risk of life and paucity of training ranges has forced peopleto adopt newer technologies like computer simulation models, simulators and computer wargamesin military training. With the advancement of computer and communication technologies along withthe advent of other newer technologies, these tools have emerged effective and also havesignificantly less operational cost. It is also becoming possible to integrate simulators, simulationand live exercise through networking, resulting into an effective training tool. This paper highlightsthe advancement of simulation technology in military training and also highlights its applications inIndia

Probabilistic Analysis of Anti-ship Missile Defence Effectiveness

Effective missile defence systems are primary requirement for naval ships to counter lethal anti-ship cruise missile attacks in today’s naval warfare scenario. Anti-ship ballistic missiles would further add worry to ship missile defence. The paper discusses a probabilistic analysis of missile defence system effectiveness by considering a simple scenario of a single ship defence with multiple interceptors against a single non-maneuvering missile attack. The ship’s interceptor hard kill lethality is taken as the measures of effectiveness in the analysis. The paper discusses effect of different firing policies, multi-sensor and layered defence to achieve maximum ship survivability.Defence Science Journal, 2014, 64(2), pp. 123-129. DOI: http://dx.doi.org/10.14429/dsj.64.353

Minimum cost arborescences

In this paper, we analyze the cost allocation problem when a group of agents or nodes have to be connected to a source, and where the cost matrix describing the cost of connecting each pair of agents is not necessarily symmetric, thus extending the well-studied problem of minimum cost spanning tree games, where the costs are assumed to be symmetric. The focus is on rules which satisfy axioms representing incentive and fairness properties. We show that while some results are similar, there are also signifcant differences between the frameworks corresponding to symmetric and asymmetric cost matrices

Fuzzy Decision Aid for Technology Evaluation

Fuzzy set theory offers a possibility of handling the data and information involving thesubjective characteristics of human nature in decision-making process, which is mostly true inthe real-world. This paper presents a fuzzy decision theory method to evaluate the potential ofproject proposals submitted for final approval of corporate decision makers in any research anddevelopment organisation

Tunable interband and intraband plasmons in twisted double bilayer graphene

Flat bands in twisted moire superlattices support a variety of topological and strongly correlated phenomena along with easily tunable electrical and optical properties. Here, we demonstrate the existence of tunable, long-lived, and flat intraband and interband terahertz plasmons in twisted double bilayer graphene. We show that the interband plasmons originate from the presence of a Van Hove singularity in the joint density of states and a finite Berry connection between the pair of bands involved. We find that the gapped interband plasmon mode has a universal dispersion, and the plasmon gap is specified by the location of the Van Hove singularity in the joint density of states. Metallic moire systems support an additional intraband plasmon mode which becomes flat in the large momentum limit because of the influence of the interband correlations. We demonstrate that the undamped and flat plasmon modes in moire systems are highly tunable and can be controlled by varying the vertical electric field and electron doping, and they persist over a wide range of twist angles.Comment: 4 figures, 9 page

Intrinsic nonreciprocal bulk plasmons in noncentrosymmetric magnetic systems

Nonreciprocal plasmonics enables one-way light propagation at the nanoscale and it is an essential building block for photonics applications. Here, we explore intrinsic nonreciprocity in bulk plasmon propagation based on underlying symmetries. We demonstrate that the interband, as well as the intraband bulk plasmon modes, follow asymmetric dispersion depending on the sign of the wavevector for systems with broken inversion and time-reversal symmetry. We show that the nonreciprocity in the interband plasmon dispersion is dictated by the quantum metric connection, which is a band geometric quantity. The intrinsic nonreciprocity in bulk intraband plasmon dispersion is dictated by the quantum metric dipole and a higher-order `Drude' weight-like term. We corroborate our findings via explicit numerical calculations for the two-dimensional Qi-Wu-Zhang model and demonstrate the existence of intrinsic nonreciprocal intraband and interband plasmon modes in moire systems such as twisted bilayer graphene.Comment: 14 pages, 6 figure